基于纠删编解码算法的医疗数据存储系统容错策略优化

Fault-tolerant Strategy Optimization of Medical Data Storage System Based on Erasure Coding and Decoding Algorithm

为了提高医疗数据的安全存储和容错能力,提出基于纠删编解码算法的医疗数据存储系统容错方法。结合统计特征分析方法进行医疗数据存储系统容错特性分析,提取医疗数据的相关性特征量,建立医疗数据的纠删编解码模型,采用自相关性特征检测方法进行医疗数据的编码和解码设计,建立医疗数据安全存储的加密密钥,结合优化的纠删编解码方案进行医疗数据的优化存储结构重组,采用模糊聚类和向量量化编码方案实现医疗数据的结构重组和特征重建,实现医疗数据存储系统容错策略优化。仿真结果表明,采用该方法进行医疗数据存储系统设计的容错性较好,数据的编码解码能力较强,提高了医疗数据存储和管理的安全性。

In order to improve the secure storage and fault-tolerant ability of medical data,a fault-tolerant method of medical data storage system based on erasure coding and decoding algorithm is proposed.Combined with the statistical feature analysis method,the fault-tolerant characteristics of the medical data storage system are analyzed,the correlation features of the medical data are extracted,the coding and decoding model of the medical data is established,the coding and decoding design of the medical data is carried out by using the autocorrelation feature detection method,the encryption key of the secure storage of the medical data is established,and the optimized storage structure of the medical data is reorganized with the optimized coding and decoding scheme.Fuzzy clustering and vector quantification coding schemes are used to realize the structural reorganization and feature reconstruction of medical data,and the fault-tolerant strategy optimization of medical data storage system is realized.The simulation results show that this method has good fault tolerance and strong coding and decoding ability,which improves the security of medical data storage and management.